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RecruitingNCT05436548Updated Jun 29, 2023

The Work-life Check-ins: a Supervisor-driven Intervention to Reduce Burnout in Primary Care

An interventional study of Supervisor-employee frequent check-ins to identify and address work stressors and Usual practice waitlist controls in Burnout, sponsored by Oregon Health and Science University. Recruiting at 2 sites in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-06-29.

Sponsored by Oregon Health and Science University · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Primary completion was expected by Sep 2025, 1 year ago, but the record still lists the study as recruiting.
  • Started Jan 2023; still recruiting 3 years 9 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
500
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The objective of this study is to evaluate the effectiveness and process of frequent supervisor-employee check-ins in reducing burnout among employees of primary care clinics in Portland, OR. Healthcare workers are at risk for burnout and associated adverse health and safety outcomes, including chronic diseases and occupational injuries. Not only does burnout affect healthcare workers, but burnout also affects the quality of patient care. The proposed study will create a check-in process between supervisors and healthcare workers, which addresses supervisor support, awareness of services and resources, and work-life balance. The Work-life Check-ins project expects to see reduced burnout among employees participating in the check-ins intervention compared to those in the control group.

Read the detailed description

Burnout is a manifestation of chronic work stress characterized by emotional exhaustion, cynicism, and diminished self-efficacy. The burden of burnout is alarming, especially within healthcare where it affects at least one-third of the workforce, including clinicians and support staff. The causes of healthcare worker burnout are multifactorial, including systemic pressures (e.g., intensification of charting duties, prolonged work hours with circadian and work-life disruptions, exposure to trauma), and unit-level characteristics (e.g., value misalignment and mistrust between team members and leadership, and lack of supportive services or resources). The modification of these systemic factors requires the lengthy action of stakeholders that have competing agendas. In the meantime, the healthcare workforce remains in urgent need of practical, adaptable, and meaningful solutions to start addressing this pervasive problem. In this conundrum, interventions aimed at improving leader-staff relations - a more readily modifiable target than systemic pressures- have reduced the most proximal emotional effects of burnout. However, new approaches are required so that leadership-focused interventions generate and sustain impactful organizational transformations. The need for such interventions is even more significant amid the exploding levels of work stress related to the COVID-19 crisis.

The objective of this five-year proposal is to conduct a cluster randomized controlled trial (CRT) across 10 OHSU primary care clinics to evaluate the effectiveness and process of a supervisor-focused intervention to reduce burnout. The intervention titled "Work-life Check-ins" will create a process designed to reduce burnout by boosting supervisor support, trust, and value alignment, increasing awareness of appropriate services and resources, and addressing workflow or work-life problems. The central hypothesis is that employees at the six clinics randomly assigned to the intervention will have reduced burnout at the 12- month follow-up compared to waitlist-control clinics. The investigators expect that the intervention will reduce burnout based on our preliminary studies and the integration of evidence-based techniques, including supportive supervision training, goal setting, feedback sessions, and quality improvement cycles. This proposal will accomplish the following specific aims.

Aim 1: Determine the Work-life Check-ins' effectiveness on burnout and secondary outcomes.

The investigators will evaluate the effectiveness of the Work-life Check-ins via surveys conducted among eligible employees (N=552 across the 10 clinics). As the primary outcome, it will be surveyed burnout at baseline and after 12 months. As secondary outcomes, we will examine safety and well-being variables (e.g., turnover intentions, values alignment, supervisor support and safety climate,).

Aim 2: Identify organizational changes produced by the Work-life check-ins. The investigators will conduct a multi-method process evaluation, including implementation metrics (e.g., number and frequency of check-ins) and in-depth interviews with supervisors and workers after implementation. The process evaluation will reveal the extent to which the intervention influenced the adoption of environmental, procedural or educational burnout control and prevention measures.

02

Conditions studied

  • Burnout

Keywords

  • burnout
  • values alignment
  • supervisor support
03

In context

Burnout, Psychological

442 studies on the registry are indexed under Burnout, Psychological; 106 are open to participants now.

This study's planned enrollment of 500 is above the median of 80 across 319 interventional studies indexed under Burnout, Psychological.

Browse Burnout, Psychological studies →

Lead sponsor

Oregon Health and Science University is the lead sponsor of 676 studies on the registry; 136 are open to participants now.

Of its 49 completed or terminated interventional studies of FDA-regulated products, 36 (73%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • At least 18 years of age
  • Employed at one of the 12 OHSU primary care clinics that weren't involved in the pilot study
  • Supervisors (medical director, practice manager, supervisors, leads)
  • Employees (patient-facing; back and front of the clinic)

    • Patient Access Specialists
    • Medical Assistants
    • MDs, RNs, NPs

Exclusion criteria

Exclusion Criteria:

  • Under the age of 18
  • Employed at an OHSU primary care clinic that participated in the pilot study
  • Non-clinic employees
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
500 participants (estimated)

Study arms

  • Experimental
    Brief and frequent Work-life check-ins between clinic supervisors and each staff member

    Primary care clinics assigned to the intervention will conduct frequent (every 8 weeks) supervisor-employee brief (30 min) check-ins to identify work stressors. Supervisors at such clinics will complete training on how to use the check-ins to address work stressors.

    Other: Supervisor-employee frequent check-ins to identify and address work stressors

  • Experimental
    Usual practice, waitlist controls

    Primary care clinics randomly assigned to the control condition will continue as usual practice. If the check-is are effective in reducing burnout, then supervisor-level training will become available to supervisors at the end of the study

    Other: Usual practice waitlist controls

Interventions

  • OtherSupervisor-employee frequent check-ins to identify and address work stressors

    Supervisors will complete three training modules: 1) how and why the check-ins are expected to address burnout; 2) how to demonstrate supportive supervision during the check-ins process, and 3) principle of quality improvement applied to the check-ins

  • OtherUsual practice waitlist controls

    If the check-ins are successful in reducing burnout, supervisors at the control clinics will be offered the training modules

06

What researchers measure

Primary outcomes

  1. Change in Burnout baseline vs. 12th month follow-up

    As a primary outcome, we will use the Maslach Burnout Inventory, which is considered the gold standard in burnout research. The MBI-HSS yields a three-factor score of burnout: emotional exhaustion (9 items; e.g., "I feel burned out from my job"), depersonalization (5 items; e.g., "I've become more callous toward people since I took this job"), and low personal accomplishment (8 items; "I feel I'm positively influencing other people's lives through my job).

    Time frame: 12 months post supervisor check-ins training

Secondary outcomes

  1. Change in Turnover intentions baseline vs. 12th month follow-up

    We will measure turnover intentions as the average of two questions, scored with a 5-point scale (NIOSH Quality of Work Life), about the extent to which participants are considering leaving their current job and organization (higher scores means higher intentions).

    Time frame: 12 months post supervisor check-ins training

  2. Change in Values alignment with clinic leaders baseline vs. 12th month follow-up

    The Mini-Z has 10 questions (continuous variables) for aspects such as value alignment (e.g., "my professional values are well aligned with those of my clinic leader"). Higher scores means higher values alignment.

    Time frame: 12 months post supervisor check-ins training

  3. Change in Family Supportive Supervisor Behaviors (FSSB) baseline vs. 12th month follow-up

    The study will include a modified version of the Family-supportive supervisor behaviors (FSSB) questionnaire, created by Dr. Hammer. The FSSB has 4 questions for emotional support, instrumental support, role modeling and creative conflict management (e.g., "my supervisor works effectively with employees to solve conflicts between work and non-work creatively"). Higher scores means higher FSSB.

    Time frame: 12 months post supervisor check-ins training

  4. Change in Organizational constraints baseline vs. 12th month follow-up

    Organizational constraints is a scale that inquires the extent to which workers perceive that different barriers affect their performance. This scale (title: Organizational Constraints Scale) asks about equipment, supplies, procedures, supervisors, co-workers, insufficient training, and incorrect instructions, among others (11 items; e.g., "how often do you find it difficult or impossible to do your job because of"). Higher scores mean greater constraints.

    Time frame: 12 months post supervisor check-ins training

07

Study locations

1 of 2 sites recruiting
  • OHSU
    Portland, Oregon 97239, United States
    • David A Hurtado, ScD · Contact · hurtadod@ohsu.edu · 503-494-3132
    • David A Hurtado, ScD · Principal investigator
    • Abigail Lenhart, MD · Principal investigator
    Not yet recruiting
  • OHSU
    Portland, Oregon 97239, United States
    Recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 29, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05436548
Lead sponsor
Oregon Health and Science University
Responsible party
David Hurtado, ScD (Assistant Professor, Oregon Health and Science University) — Principal investigator
First posted
Jun 29, 2022
Start date
Jan 3, 2023
Primary completion
Sep 20, 2025 (estimated)
Completion
Aug 31, 2026 (estimated)
Last update
Jun 29, 2023

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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